Erosion Detection and Prediction

4. The inspection system of claim 1, wherein the target comprises a substrate and a coating positioned on the target and wherein the controller is further configured to segment erosion of the coating and the substrate.

5. The inspection system of claim 1, wherein the target is a heat shield of a fuel nozzle, the first surface is an outer diameter of the heat shield, and the second surface is an inner diameter of the heat shield.

6. The inspection system of claim 1, wherein the computer vision algorithm is configured to perform at least one of pixel erosion or pixel dilation for at least one pixel of a plurality of pixels included in the at least one image.

7. The inspection system of claim 1, wherein the computer vision algorithm is configured to perform at least one of feature extraction, thresholding, or edge detection.

8. The inspection system of claim 1, wherein the computer vision algorithm is a deep learning algorithm configured to perform at least one of object detection, semantic segmentation, or instance segmentation.

9. The inspection system of claim 1, further comprising a borescope including the camera and the controller.

13. The method of claim 10, wherein the target comprises a substrate and a coating positioned on the target and wherein the method further comprises segmenting, using the at least one computer vision algorithm, erosion of the coating and the substrate.

14. The method of claim 10, wherein the target is a heat shield of a fuel nozzle, the first surface is an outer diameter of the heat shield, and the second surface is an inner diameter of the heat shield.

15. The method of claim 10, wherein the computer vision algorithm is configured to perform at least one of pixel erosion or pixel dilation of at least one pixel of a plurality of pixels included in the at least one image.

16. The method of claim 10, wherein the computer vision algorithm is configured to perform at least one of feature extraction, thresholding, or edge detection.

17. The method of claim 10, wherein the computer vision algorithm is a deep learning algorithm configured to perform at least one of object detection, semantic segmentation, or instance segmentation.

18. The method of claim 10, wherein the inspection device is a borescope comprising the camera and the controller.